Using evolutionary algorithms to generate alternatives for multiobjective site-search problems.
The writers describe an approach based on an evolutionary algorithm (EA) that can be utilized to generate alternatives for multiobjective site-search problems, a class of decision problems that has geographical elements and multiple, often conflicting, objectives. They demonstrate the strength and e...
| Publicado en: | Environment & Planning A Vol. 34; no. 4; pp. 639 - 657 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Pion Limited
April 2002
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | The writers describe an approach based on an evolutionary algorithm (EA) that can be utilized to generate alternatives for multiobjective site-search problems, a class of decision problems that has geographical elements and multiple, often conflicting, objectives. They demonstrate the strength and effectiveness of this EA-based approach to geographical analysis and multiobjective decision making. They raise crucial issues regarding the representation of spatial solutions and associated evolutionary operations. |
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